Exposing ML Workbench Prediction Results in Studio Without Manual Data Export

Hi everyone,

I'm working with Celonis Machine Learning Workbench (MLWB) and a Knowledge Model as the data source.

Current setup:

• Data is queried from a Knowledge Model into MLWB.
• A Python/scikit-learn model is trained successfully.
• Predictions are generated and stored in a pandas DataFrame.
• The goal is to visualize those prediction results in a Studio View/dashboard.

The challenge:

I can generate the prediction table in MLWB, but I have not found a way to make the prediction output directly available in Studio.

I'm specifically looking for a solution that does not require:

• Exporting a CSV from MLWB
• Uploading the CSV into Data Integration
• Manually creating new data tables

Instead, I'm trying to understand whether there is a more native integration pattern between MLWB and Studio.

Questions

1. Is it possible to expose a DataFrame or ML prediction output from MLWB directly to a Studio View?
2. Can MLWB prediction results be persisted as a Knowledge Model asset, View asset, or another object that Studio can consume?
3. Is there a recommended deployment or inference workflow in Celonis where Studio can consume MLWB prediction results without a manual export/import step?
4. Are there MLWB APIs, Actions, Skills, or deployment features that support this use case?

Any examples, best practices, or architectural recommendations would be greatly appreciated.

Thanks!